Scope a data build BUSINESS QUESTIONS / NOT TOOL CHECKLISTS
Start with the decision that keeps breaking.
The same data stack can be useful or irrelevant depending on the question it was built to answer. Tribal begins with a costly disagreement, blind spot, or reporting workflow, then traces the minimum reliable path through sources, definitions, models, controls, and delivery.
01 / QUESTIONS
The answer should survive the meeting.
Can acquisition spend be evaluated against returns-adjusted customer economics?
Can recurring reporting run without rebuilding the logic every cycle?
02 / FAULT LINES
Find where trust breaks before choosing the tool.
Revenue disagreement
Storefront, payment, analytics, subscription, and finance systems measure different events on different clocks.
Growth without economics
Media performance is disconnected from repeat behavior, returns, fulfillment cost, and contribution.
Reporting without reuse
Every executive question triggers another export, join, and spreadsheet-specific definition.
03 / SCOPE
Resolve the question at every layer it crosses.
Single source of truth
Create shared definitions and traceable reconciliation across commerce, marketing, operations, and finance.
- Revenue and order-state reconciliation
- Customer and product identity
- Governed metric contracts
Acquisition profitability
Connect acquisition inputs to returns-adjusted customer and order economics.
- New-customer and blended CAC
- Cohorts, payback, and contribution
- Channel and offer decision views
Decision automation
Turn recurring analysis into a monitored product with an owner and action path.
- Executive scorecards and briefs
- Alerts and anomaly triage
- Documented operating cadence
04 / SOURCE TO DECISION
A solution is complete when the decision becomes repeatable.
The final interface can be a dashboard, scorecard, brief, alert, model, or custom workflow. What matters is that its definitions, freshness, source path, owner, and next action are clear.
Instrument
Define the events, entities, consent, and identity behavior the decision requires.
Warehouse
Bring useful source data into an owned analytical environment with freshness controls.
Model
Create tested definitions for customers, orders, contribution, cohorts, and other business concepts.
Decide
Deliver governed answers through scorecards, analysis, alerts, briefs, or custom interfaces.
Enable AI
Expose approved data to evaluated AI workflows with permissions and human escalation.
START WITH THE EXPENSIVE UNKNOWN
Bring us the answer you don’t trust.
We’ll review the question and follow up to determine whether a focused teardown is the right next step. The first job is locating the break: collection, modeling, governance, or delivery.